AI FinOps Engineer

Nelnet

AI FinOps Engineer at Nelnet focusing on token economics and cost optimization for Enterprise AI programs. Collaborating with teams to drive efficiency across AI platforms and best practice development.

Posted 6/10/2026full-time🇺🇸 United StatesJunior💰 $77,000 - $170,000 per yearWebsite

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

LLM APIstoken optimizationprompt engineeringPythonSQLcaching strategiesbatch API usagemodel-tier switchingcost reduction techniquesdata instrumentation

Soft Skills

communicationcollaborationanalytical thinkingproblem-solving

Tools & Technologies

dashboardsAI platformscloud infrastructure

Certifications & Qualifications

FinOps Foundation certification

Industry Keywords

token costspricing mechanicscontext windowsinput/output token splitsefficiency metricscost anomalieswaste identificationsavings quantification

Tech Stack

Tools & technologies

CloudPythonSQLSwitching

About the role

Key responsibilities & impact

Track, model, and optimize token costs across Enterprise AI platforms.
Own prompt efficiency patterns, caching strategies, and model-tier selection guidance.
Define and document token optimization best practices.
Partner with the AI enablement team to translate findings into org-wide guidance.
Build and maintain dashboards that surface usage trends, cost anomalies, and efficiency metrics for IT leadership.
Identify waste, propose tier or model changes, and quantify savings.

Requirements

What you’ll need

1–2 years hands-on experience with LLM APIs (Claude, OpenAI, or equivalent) at the token level
Deep familiarity with LLM pricing mechanics: context windows, caching, batching, input/output token splits, and tier structures
Experience with prompt engineering techniques focused on efficiency and cost reduction
Python or SQL for instrumentation and pipeline work
Ability to communicate technical findings to non-technical stakeholders.
2–4 years of industry experience (Preferred)
Prompt caching, batch API usage, or model-tier switching in production environments (Preferred)
Cloud FinOps background or FinOps Foundation certification (Preferred)
Experience with multiple LLM providers and their cost/capability tradeoffs (Preferred)

Benefits

Comp & perks

Medical, dental, vision
HSA and FSA
Generous earned time off
401K/student loan repayment
Life insurance & AD&D insurance
Employee assistance program
Employee stock purchase program
Tuition reimbursement
Performance-based incentive pay
Short- and long-term disability
Robust wellness program